SELF-ORGANIZING SYSTEMS AND METHODS FOR DATA COLLECTION

20190324442

16/458070

June 30, 2019

The present disclosure describes methods for data collection in an industrial environment having self-organization functionality. A method can include analyzing a plurality of sensor inputs, sampling data received from the plurality of sensor inputs, and self-organizing at least one of (i) a storage operation of the data, (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs. The selection operation may include receiving a signal relating to at least one condition of the industrial environment, and, based on the signal, changing at least one of the plurality of sensor inputs analyzed and a frequency of sampling.

1. A method for data collection in an industrial environment having self-organization functionality, the method comprising: analyzing a plurality of sensor inputs; sampling data received from the plurality of sensor inputs; and self-organizing at least one of (i) a storage operation of the data, (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs, wherein the selection operation comprises: receiving a signal relating to at least one condition of the industrial environment; and, based on the signal, changing at least one of the plurality of sensor inputs analyzed and a frequency of sampling.

2. The method of claim 1, wherein the at least one condition of the industrial environment is a signal-to-noise ratio of the sampled data.

3. The method of claim 1, wherein the selection operation comprises identifying a target signal to be sensed.

4. The method of claim 3, wherein the selection operation further comprises: identifying one or more non-target signals in a same frequency band as the target signal to be sensed; and based on the identified one or more non-target signals, changing at least one of the plurality of sensor inputs analyzed and a frequency of sampling.

5. The method of claim 3, wherein the selection operation further comprises: identifying other data collectors sensing in a same signal band as the target signal to be sensed; and based on the identified other data collectors, changing at least one of the plurality of sensor inputs analyzed and a frequency of sampling.

6. The method of claim 3, wherein the selection operation further comprises: identifying a level of activity of a target associated with the target signal to be sensed; and based on the identified level of activity, changing at least one of the plurality of sensor inputs analyzed and a frequency of sampling.

7. The method of claim 3, wherein the selection operation further comprises: receiving data indicative of environmental conditions near a target associated with the target signal; comparing the received data indicative of environmental conditions of the target with past environmental conditions near the target or another target similar to the target; and, based on comparing, changing at least one of the plurality of sensor inputs analyzed and a frequency of sampling.

8. The method of claim 1, wherein the selection operation further comprises transmitting at least a portion of the received sampling data to another data collector according to a predetermined hierarchy of data collection.

9. A method for data collection in an industrial environment having self-organization functionality, the method comprising: analyzing a plurality of sensor inputs; sampling data received from the plurality of sensor inputs; and self-organizing at least one of (i) a storage operation of the data, (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs, wherein the selection operation comprises: identifying a target signal to be sensed; receiving a signal relating to at least one condition of the industrial environment; based on the signal, changing at least one of the plurality of sensor inputs analyzed and a frequency of sampling; receiving data indicative of environmental conditions near a target associated with the target signal; transmitting at least a portion of the received sampling data to another data collector according to a predetermined hierarchy of data collection; receiving performance feedback via a network connection relating to a quality or sufficiency of the transmitted data; analyzing the received performance feedback; and based on the analysis of the received performance feedback, changing at least one of the plurality of sensor inputs analyzed, the frequency of sampling, the data stored, and the data transmitted.

10. The method of claim 9, wherein the performance feedback comprises at least one of: a quality or sufficiency of the transmitted data; at least one yield metric of the transmitted data; and a power utilization of a network communicating the sampled data from the plurality of sensor inputs.

11. The method of claim 9, wherein the performance feedback comprises a quality or sufficiency of the transmitted data, the method further comprising executing a dimensionality reduction algorithm on the data based on an analysis of the received feedback.

12. The method of claim 11, wherein the dimensionality reduction algorithm is one or more of: a Decision Tree, Random Forest, Principal Component Analysis, Factor Analysis, Linear Discriminant Analysis, Identification based on correlation matrix, Missing Values Ratio, Low Variance Filter, Random Projections, Nonnegative Matrix Factorization, Stacked Auto-encoders, Chi-square or Information Gain, Multidimensional Scaling, Correspondence Analysis, Factor Analysis, Clustering, and Bayesian Models.

13. The method of claim 11, wherein the dimensionality reduction algorithm is performed at a data collector.

14. The method of claim 11, wherein executing the dimensionality reduction algorithm includes sending the data to a remote computing device.

15. A method for data collection in an industrial environment having self-organization functionality, the method comprising: analyzing a plurality of sensor inputs; sampling data received from the plurality of sensor inputs; and self-organizing at least one of (i) a storage operation of the data, (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs, wherein the selection operation comprises: identifying a target signal to be sensed; receiving a signal relating to at least one condition of the industrial environment; based on the signal, changing at least one of the plurality of sensor inputs analyzed and a frequency of the sampling; receiving data indicative of environmental conditions near a target associated with the target signal; transmitting at least a portion of the received sampling data to another data collector according to a predetermined hierarchy of data collection; receiving feedback via a network connection relating to at least one of a bandwidth and a quality or of the network connection; analyzing the received feedback; and based on the analysis of the received feedback, changing at least one of the plurality of sensor inputs analyzed, the frequency of sampling, the data stored, and the data transmitted.

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